Diagnose your Salesforce org's performance from a single Scale Center screenshot. Maps detected issues to a prioritized action matrix.

Tool to convert O3PipeView output from Gem5 simulator to Perfetto tracing

University Project for "Performance Evaluation of Computer Systems and Networks" course (MSc Computer Engineering @ University of Pisa). Supermarket simulator developed in OMNeT++ 5.7

A simple benchmark project to visualize how Helper Methods can lead to Garbage Collector (GC) overload and UI jank compared to Const Classes.

Modeling and performance evaluation of an opportunistic cellular network. Developed using Omnetpp-6.0.1

This project consists in the implementation of the K-Means and Mini-Batch K-Means clustering algorithms. This is not to be considered as the final and most efficient algorithm implementation as the objective here is to make a clear comparison between the sequential and parallel execution of the clustering steps.

High-performance profiling tool for Arbitrum Stylus. Generate interactive flamegraphs, analyze gas/ink usage, and automate regression detection in CI/CD.

A Python-based CPU Performance Analysis Simulator that demonstrates the Fetch-Decode-Execute cycle, cache memory behavior, branch prediction, ALU operations, and performance visualization.

This project consists of a client-server infrastructure developed in Python for real-time streaming of high-resolution videos up to 4K. The system performs a frame-by-frame encryption, enabling comparative performance analysis among multiple cryptographic algorithms.

Heart Disease Prediction - UCI Heart Disease Dataset

Analysis and optimization of performance, memory and web coverage

Simple Python sample-profiler running in Docker.

This project's main focus was in code perfomance so all code was thought to be as optimized as possible

A full-stack web application for analyzing and predicting insurance agent performance using machine learning.

Predicting workforce capability using structured Machine Learning and intelligent HR data patterns.

Determine which portfolio outperformed the others using an analysis python notebook and visualizes the major metrics of the portfolios.

Program for analyzing the performance of web pages

This project was developed in the context of a Kaggle competition, titled Counter-Strike & Call of Duty Analytics Challenge. The project presents a complete Data Engineering, Analytics, and ML pipeline to analyze competitive performance patterns in two of the world's most popular FPS games: Counter-Strike (CS:GO) and Call of Duty.

In this project we make queries that query big data like the movielens dataset that is used here,then we run these experiments to compare perfomance at local machine clusters and at livy server clusters.

Implementation and perfomance analisys of the conv2D algorithm in C++ and Cuda.